IEEE

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...
IEEE

Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation

Abstract: Battery degradation is a critical consideration in ensuring the longevity and reliability of energy storage systems, particularly in devices deployed in remote locations. Characterizing ...
GitHub

FAR: Frame Autoregressive Model for Both Short- and Long-Context Video Modeling

🔥 FAR leverages clean visual context without additional image-to-video fine-tuning: Unconditional pretraining on UCF-101 achieves state-of-the-art results in both video generation (context frame = 0) ...
GitHub

WorldVLA: Towards Autoregressive Action World Model

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...
Microsoft

Autoregressive Speech Synthesis without Vector Quantization

We present MELLE, a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from ...